Cargando…

Machine learning-based predictive modeling of depression in hypertensive populations

We aimed to develop prediction models for depression among U.S. adults with hypertension using various machine learning (ML) approaches. Moreover, we analyzed the mechanisms of the developed models. This cross-sectional study included 8,628 adults with hypertension (11.3% with depression) from the N...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lee, Chiyoung, Kim, Heewon
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9337649/ https://www.ncbi.nlm.nih.gov/pubmed/35905087 http://dx.doi.org/10.1371/journal.pone.0272330

Ejemplares similares

On the interpretability of machine learning-based model for predicting hypertension
por: Elshawi, Radwa, et al.
Publicado: (2019)

Machine Learning-Based Predictive Modeling of Postpartum Depression
por: Shin, Dayeon, et al.
Publicado: (2020)

Prediction of Poststroke Depression Based on the Outcomes of Machine Learning Algorithms
por: Ryu, Yeong Hwan, et al.
Publicado: (2022)

Depressive Symptoms Feature-Based Machine Learning Approach to Predicting Depression Using Smartphone
por: Hong, Juyoung, et al.
Publicado: (2022)

Machine learning models for predicting depression in Korean young employees
por: Kim, Suk-Sun, et al.
Publicado: (2023)

Predicting prenatal depression and assessing model bias using machine learning models
por: Huang, Yongchao, et al.
Publicado: (2023)

A Machine-Learning-Algorithm-Based Prediction Model for Psychotic Symptoms in Patients with Depressive Disorder
por: Kim, Kiwon, et al.
Publicado: (2022)

A machine learning approach for the prediction of pulmonary hypertension
por: Leha, Andreas, et al.
Publicado: (2019)

A comparison of machine learning algorithms and traditional regression-based statistical modeling for predicting hypertension incidence in a Canadian population
por: Chowdhury, Mohammad Ziaul Islam, et al.
Publicado: (2023)

A Machine Learning Approach to Predicting New‐onset Depression in a Military Population
por: Sampson, Laura, et al.
Publicado: (2021)

Novel Insights on Establishing Machine Learning-Based Stroke Prediction Models Among Hypertensive Adults
por: Huang, Xiao, et al.
Publicado: (2022)

Prediction of Masked Hypertension and Masked Uncontrolled Hypertension Using Machine Learning
por: Hung, Ming-Hui, et al.
Publicado: (2021)

A Machine-Learning-Based Prediction Method for Hypertension Outcomes Based on Medical Data
por: Chang, Wenbing, et al.
Publicado: (2019)

Machine Learning-Based Models for Prediction of Critical Illness at Community, Paramedic, and Hospital Stages
por: Lee, Sijin, et al.
Publicado: (2023)

Machine learning-based prediction model for postoperative delirium in non-cardiac surgery
por: Lee, Dong Yun, et al.
Publicado: (2023)

Infection prediction in swine populations with machine learning
por: Halev, Avishai, et al.
Publicado: (2023)

Machine Learning Models for the Prediction of Postpartum Depression: Application and Comparison Based on a Cohort Study
por: Zhang, Weina, et al.
Publicado: (2020)

Intraoperative Hypotension Prediction Model Based on Systematic Feature Engineering and Machine Learning
por: Lee, Subin, et al.
Publicado: (2022)

Prediction model of obstructive sleep apnea–related hypertension: Machine learning–based development and interpretation study
por: Shi, Yewen, et al.
Publicado: (2022)

A recurrent machine learning model predicts intracranial hypertension in neurointensive care patients
por: Schweingruber, Nils, et al.
Publicado: (2022)

Pre-existing and machine learning-based models for cardiovascular risk prediction
por: Cho, Sang-Yeong, et al.
Publicado: (2021)

Predictive models of hypertensive disorders in pregnancy based on support vector machine algorithm
por: Yang, Lin, et al.
Publicado: (2020)

Development of machine learning model for diagnostic disease prediction based on laboratory tests
por: Park, Dong Jin, et al.
Publicado: (2021)

Development of a depression in Parkinson's disease prediction model using machine learning
por: Byeon, Haewon
Publicado: (2020)

Optimizing the predictive power of depression screenings using machine learning
por: Terhorst, Yannik, et al.
Publicado: (2023)

Prediction model development of late-onset preeclampsia using machine learning-based methods
por: Jhee, Jong Hyun, et al.
Publicado: (2019)

A Machine Learning Model Based on microRNAs for the Diagnosis of Essential Hypertension
por: Jusic, Amela, et al.
Publicado: (2023)

Predictive pollen-based biome modeling using machine learning
por: Sobol, Magdalena K., et al.
Publicado: (2018)

Machine Learning-Based Multiomics Prediction Model for Radiation Pneumonitis
por: Zhou, Lu, et al.
Publicado: (2023)

Machine learning-based predictive model for prevention of metabolic syndrome
por: Shin, Hyunseok, et al.
Publicado: (2023)

Prediction of hypertension using traditional regression and machine learning models: A systematic review and meta-analysis
por: Chowdhury, Mohammad Ziaul Islam, et al.
Publicado: (2022)

Machine learning‑based radiomics models for prediction of locoregional recurrence in patients with breast cancer
por: Lee, Joongyo, et al.
Publicado: (2023)

Machine learning-based prediction of intraoperative hypoxemia for pediatric patients
por: Park, Jung-Bin, et al.
Publicado: (2023)

Machine Learning-Based Predictive Models of Behavioral and Psychological Symptoms of Dementia
por: Cho, Eunhee, et al.
Publicado: (2021)

Machine learning-based prediction models for accidental hypothermia patients
por: Okada, Yohei, et al.
Publicado: (2021)

Machine Learning-Based Electroencephalographic Phenotypes of Schizophrenia and Major Depressive Disorder
por: Jang, Kuk-In, et al.
Publicado: (2021)

MLACP: machine-learning-based prediction of anticancer peptides
por: Manavalan, Balachandran, et al.
Publicado: (2017)

A Machine Learning Model to Predict Length of Stay and Mortality among Diabetes and Hypertension Inpatients
por: Barsasella, Diana, et al.
Publicado: (2022)

A risk prediction model based on machine learning for early cognitive impairment in hypertension: Development and validation study
por: Zhong, Xia, et al.
Publicado: (2023)

Empirical Investigation for Predicting Depression from Different Machine Learning Based Voice Recognition Techniques
por: Punithavathi, R., et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_acmh3kkmpisieu2t7ooc93diu8